Data Scientist , Demand Forecasting

Description

Amazon has the world's most complex supply chain: we fulfil global demand for hundreds of millions of products with lightning-fast delivery speeds. The Product Data Science team within Forecasting & Labs is looking for an analytical and technically skilled Data Scientist to develop and support data‑science methodologies, build bias‑correction models, design A/B experiments, and contribute to GenAI/LLM research for forecast explainability.

The role involves modelling causal inferences from observational and experimental data, handling demand prediction, out‑of‑stock, seasonality, and varying lead times, and communicating insights to stakeholders.

• Design and analyse experiments (A/B tests) to measure the impact of forecast model changes and SCOT initiatives, drawing causal inferences from both experimental and observational data.
• Develop bias‑correction models to improve forecast accuracy across Amazon’s demand forecasting systems, including National, Regional, Grocery, SSD, Inbound, and CIV forecasts.
• Contribute to GenAI/LLM‑based research for forecast explainability and interpretability, helping stakeholders understand what drives forecast signals.
• Support and enhance the Labs experimentation platform by building scalable inference and measurement solutions that quantify the impact of forecasting improvements.
• Work horizontally across the forecasting product portfolio and collaborate with product managers, applied scientists, and engineering teams to embed analytics and ML solutions where they create the most value.
• Use large datasets to build models addressing ambiguous forecasting questions, including demand prediction, out‑of‑stock, seasonality, and varying lead times and spans.
• Interpret data, write reports, and communicate measurement results to stakeholders by translating technical frameworks into business‑oriented insights and actionable recommendations.

The role is fast‑paced, ambiguous, and demands strong analytical abilities, business acumen, and excellent communication skills. You will collaborate cross‑functionally and focus on the business impact of your findings.

• Medical, Dental, and Vision Coverage
• Maternity and Parental Leave Options
• Paid Time Off (PTO)
• 401(k) Plan

• 3+ years of experience with data querying languages (e.g., SQL), scripting languages (e.g., Python), or statistical/mathematical software (e.g., R, SAS, Matlab).
• 3+ years as a data/research scientist, statistician, or quantitative analyst in an internet‑based company with complex and big data sources.
• Bachelor’s degree.
• Familiarity with large language models (LLMs) or generative AI applications in analytics or explainability.

• Knowledge of statistical packages and business intelligence tools such as SPSS, SAS, S‑PLUS, or R.
• Experience with clustered data processing (e.g., Hadoop, Spark, Map‑reduce, and Hive).
• Experience communicating complex ideas to technical and non‑technical audiences.
• Experience with time‑series forecasting, demand modelling, or bias‑correction techniques.

Amazon is an equal‑opportunity employer. We do not discriminate on the basis of protected veteran status, disability, or other legally protected status.

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USA, WA, Bellevue - $ - $ USD annually.